SIMULATION AND ANALYSIS OF NLMS AND RLS ALGORITHMS USING AWGN CHANNEL

Abstract

Reduction of background noise is still a challenging task for speech enhancement which affects the performances of communication systems like mobile phones, voice communications etc. The performance of the speech recognition system is also reduces if the speech signal is corrupted by noise. To remove the noise present in the speech signal, the adaptive filters shown the improvement in increasing the Signal to Noise Ratio values. The simulations are done using MATLAB simulation toll R2013a with communication block, speech corpus for different SNR values using Normalized Least Mean Square (NLMS) and Recursive Least Squares (RLS) filter.